Post your Steppe K10 results

Could somebody do this for me please?

A lot of appreciation to Litvin for his coordination. Presumably if I done the whole process correctly this are my results:

Steppe K10

31.27% East_Asian
22.34% Siberian
11.30% Steppe
10.51% Near_Eastern
9.23% WHG-UHG
7.43% Hindu_Kush
4.67% Southeast_Asian
2.71% Amerindian
0.54% Oceanian
0.00% Sub-Saharan

It situated my actual Steppe admixture is very low for some reason.

By the way what should I do with a spreadsheet of population averages? I had not used this document on any of made steps.

I figured the Oracle out at last.

Steppe K10 Oracle

4 Ancestors Oracle
10 components mode.
Population data has been read. 180 populations found.
Personal data has been read. 20 approximations mode.
Threshold of components set to 0,5%

Least-squares method.

Using 1 population approximation:
1 Kyrgyz @ 9,803142
2 Tubalar @ 14,917013
3 Altaian @ 15,971444
4 Uygur @ 16,008522
5 Mongolian @ 19,161672
6 Uzbek @ 21,368827
7 Tuvinian @ 25,314703
8 Afghan_Turkmen @ 25,741394
9 Buryat @ 27,870734
10 Turkmen @ 31,289312
11 Nogai @ 32,721109
12 Oroqen @ 33,128739
13 Daur @ 35,215064
14 Even @ 35,280262
15 Chuvash @ 37,368977
16 Mansi @ 37,824544
17 Xibo @ 38,735513
18 Mongola @ 39,191879
19 Yakut @ 40,478831
20 Afghan_Tadjik @ 40,550171
180 iterations.

Using 2 populations approximation:
1 Mongolian+Uzbek @ 7,732363
2 Nogai+Oroqen @ 7,808379
3 Afghan_Turkmen+Mongolian @ 8,679148
4 Chuvash+Daur @ 8,708648
5 Altaian+Uygur @ 8,752712
6 Kyrgyz+Uygur @ 9,178684
7 Altaian+Uzbek @ 9,201708
8 Mongolian+Nogai @ 9,337934
9 Kyrgyz+Uzbek @ 9,466361
10 Tuvinian+Uzbek @ 9,614958
11 Buryat+Nogai @ 9,628527
12 Kyrgyz+Tubalar @ 9,754198
13 Kyrgyz+Kyrgyz @ 9,803142
14 Buryat+Uzbek @ 9,905971
15 Daur+Nogai @ 9,982407
16 Tubalar+Uygur @ 10,102566
17 Mongolian+Uygur @ 10,140071
18 Chuvash+Xibo @ 10,396946
19 Mongolian+Turkmen @ 10,400128
20 Tuvinian+Uygur @ 10,477784
16290 iterations.

Using 3 populations approximation:
1 50% Mongolian +25% Chuvash +25% Uygur @ 3,924148
2 50% Oroqen +25% Bosnian +25% Uygur @ 4,165109
3 50% Oroqen +25% Ukrainian_Lviv +25% Uzbek @ 4,284103
4 50% Kyrgyz +25% Bosnian +25% Oroqen @ 4,28842
5 50% Oroqen +25% Serbian_Bosnia +25% Uygur @ 4,342803
6 50% Oroqen +25% Hungarian +25% Uygur @ 4,364631
7 50% Oroqen +25% Ukrainian_Lviv +25% Uygur @ 4,37394
8 50% Oroqen +25% Ukrainian_Belgorod +25% Uzbek @ 4,385353
9 50% Oroqen +25% Ukrainian_Poltava +25% Uzbek @ 4,389101
10 50% Oroqen +25% Ukrainian_Kharkov +25% Uzbek @ 4,417664
11 50% Oroqen +25% Czech +25% Uygur @ 4,425159
12 50% Oroqen +25% Moksha +25% Turkmen @ 4,446496
13 50% Oroqen +25% Czech +25% Uzbek @ 4,449255
14 50% Oroqen +25% Ukrainian_Poltava +25% Uygur @ 4,464881
15 50% Oroqen +25% Croatian +25% Uygur @ 4,494012
16 50% Oroqen +25% Hungarian +25% Uzbek @ 4,496225
17 50% Daur +25% Saami_WGA +25% Turkmen @ 4,506962
18 50% Oroqen +25% Bosnian +25% Uzbek @ 4,507665
19 50% Altaian +25% Romanian +25% Xibo @ 4,570756
20 50% Oroqen +25% Alberstedt_LN +25% Uzbek @ 4,5851
1873333 iterations.

Using 4 populations approximation:
1 Chuvash+Naxi+Turkmen+Yakut @ 2,520663
2 Buryat+Chuvash+Turkmen+Xibo @ 2,529406
3 Buryat+Chuvash+Mongola+Turkmen @ 2,571277
4 Afghan_Turkmen+Buryat+Chuvash+Mongola @ 2,667122
5 Chuvash+Turkmen+Tuvinian+Xibo @ 2,727896
6 Chuvash+Daur+Mongolian+Turkmen @ 2,735304
7 Daur+Erzya+Oroqen+Turkmen @ 2,789596
8 Chuvash+Turkmen+Yakut+Yi @ 2,806689
9 Chuvash+Mongola+Turkmen+Tuvinian @ 2,852917
10 Afghan_Turkmen+Chuvash+Mongola+Tuvinian @ 2,853411
11 Afghan_Turkmen+Chuvash+Daur+Mongolian @ 2,882138
12 Daur+Oroqen+Russian_Kargopol+Turkmen @ 2,950621
13 Daur+Moksha+Oroqen+Turkmen @ 2,980591
14 Afghan_Turkmen+Daur+Moksha+Oroqen @ 3,035655
15 Afghan_Turkmen+Buryat+Chuvash+Xibo @ 3,051123
16 Afghan_Turkmen+Daur+Erzya+Oroqen @ 3,09419
17 Bosnian+Mongolian+Oroqen+Uygur @ 3,100803
18 Afghan_Turkmen+Chuvash+Naxi+Yakut @ 3,109085
19 Afghan_Turkmen+Chuvash+Tuvinian+Xibo @ 3,139047
20 Bosnian+Uygur+Xibo+Yakut @ 3,186423
21 Afghan_Turkmen+Chuvash+Yakut+Yi @ 3,210142
22 Hungarian+Mongolian+Oroqen+Uygur @ 3,236085
23 Buryat+Mongola+Saami_WGA+Turkmen @ 3,246854
24 Chuvash+Oroqen+Turkmen+Xibo @ 3,249415
25 Hungarian+Uygur+Xibo+Yakut @ 3,274666
26 Chuvash+Daur+Mongolian+Uzbek @ 3,283854
27 Ukrainian_Lviv+Uygur+Xibo+Yakut @ 3,295066
28 Buryat+Saami_WGA+Turkmen+Xibo @ 3,308296
29 Chuvash+Daur+Oroqen+Turkmen @ 3,316003
30 Mongolian+Oroqen+Ukrainian_Lviv+Uygur @ 3,334289
31 Chuvash+Tu+Turkmen+Yakut @ 3,347525
32 Mongolian+Oroqen+Serbian_Bosnia+Uygur @ 3,350831
33 Bosnian+Mongola+Uygur+Yakut @ 3,37068
34 Chuvash+Dolgan+Naxi+Turkmen @ 3,392257
35 Hungarian+Mongola+Uygur+Yakut @ 3,392948
36 Mongola+Ukrainian_Lviv+Uygur+Yakut @ 3,402737
37 Afghan_Turkmen+Daur+Oroqen+Russian_Kargopol @ 3,414983
38 Serbian_Bosnia+Uygur+Xibo+Yakut @ 3,427472
39 Czech+Uygur+Xibo+Yakut @ 3,427964
40 Ukrainian_Poltava+Uygur+Xibo+Yakut @ 3,42936
9154305 iterations.


Gaussian method.
Noise dispersion set to 0,520249

Using 1 population approximation:
1 Kyrgyz @ 5,751484
2 Uygur @ 10,530652
3 Mongolian @ 12,903858
4 Uzbek @ 13,068898
5 Altaian @ 13,973901
6 Afghan_Turkmen @ 18,043332
7 Turkmen @ 19,199905
8 Tuvinian @ 20,451149
9 Nogai @ 21,427129
10 Buryat @ 23,142117
11 Afghan_Tadjik @ 24,698682
12 Afghan_Uzbeki @ 25,706943
13 Even @ 27,134284
14 Tadjik @ 29,205967
15 Dolgan @ 31,28539
16 Chuvash @ 31,595807
17 Yakut @ 32,619964
18 Yukagir @ 34,723595
19 Mansi @ 35,747349
20 Tubalar @ 35,928109
180 iterations.

Using 2 populations approximation:
1 Kyrgyz+Kyrgyz @ 5,751484
2 Mongolian+Uzbek @ 6,051558
3 Kyrgyz+Uygur @ 6,296017
4 Altaian+Uygur @ 6,461532
5 Kyrgyz+Uzbek @ 6,774272
6 Altaian+Uzbek @ 7,220174
7 Mongolian+Uygur @ 7,24445
8 Mongolian+Nogai @ 7,481139
9 Afghan_Turkmen+Mongolian @ 7,489519
10 Tuvinian+Uzbek @ 7,520703
11 Even+Uygur @ 7,580493
12 Tubalar+Uygur @ 7,865224
13 Tuvinian+Uygur @ 8,07179
14 Mongolian+Turkmen @ 8,12914
15 Nogai+Oroqen @ 8,292284
16 Afghan_Turkmen+Oroqen @ 8,464278
17 Afghan_Turkmen+Daur @ 8,48434
18 Afghan_Turkmen+Kyrgyz @ 8,534109
19 Daur+Nogai @ 8,556699
20 Altaian+Kyrgyz @ 8,569327
16290 iterations.

Using 3 populations approximation:
1 50% Altaian +25% Romanian +25% Xibo @ 2,730171
2 50% Altaian +25% Mongola +25% Romanian @ 2,777116
3 50% Altaian +25% Bulgarian +25% Xibo @ 2,871987
4 50% Altaian +25% Macedonian +25% Xibo @ 2,899229
5 50% Altaian +25% Bulgarian +25% Mongola @ 2,910917
6 50% Altaian +25% Macedonian +25% Mongola @ 2,984119
7 50% Altaian +25% Bosnian +25% Xibo @ 3,142987
8 50% Altaian +25% Montenegrin +25% Xibo @ 3,184048
9 50% Altaian +25% Serbian +25% Xibo @ 3,213078
10 50% Altaian +25% Bosnian +25% Mongola @ 3,217156
11 50% Altaian +25% Kosovar +25% Xibo @ 3,220005
12 50% Altaian +25% Kosovar +25% Mongola @ 3,233981
13 50% Mongolian +25% Chuvash +25% Uygur @ 3,260722
14 50% Altaian +25% Mongola +25% Serbian @ 3,296951
15 50% Altaian +25% Mongola +25% Montenegrin @ 3,29958
16 50% Altaian +25% Serbian_Bosnia +25% Xibo @ 3,502333
17 50% Daur +25% Afghan_Turkmen +25% Chuvash @ 3,521548
18 50% Altaian +25% Daur +25% Romanian @ 3,537673
19 50% Altaian +25% Romanian +25% Tu @ 3,53853
20 50% Altaian +25% Bulgarian +25% Daur @ 3,59025
2915910 iterations.

Using 4 populations approximation:
1 Altaian+Romanian+Tubalar+Xibo @ 2,425355
2 Altaian+Kosovar+Tubalar+Xibo @ 2,459756
3 Altaian+Bulgarian+Tubalar+Xibo @ 2,508467
4 Kyrgyz+Mansi+Nogai+Xibo @ 2,5156
5 Afghan_Turkmen+Buryat+Chuvash+Mongola @ 2,607741
6 Altaian+Macedonian+Tubalar+Xibo @ 2,632884
7 Chuvash+Daur+Mongolian+Uzbek @ 2,640572
8 Kyrgyz+Mansi+Mongola+Nogai @ 2,682006
9 Altaian+Altaian+Romanian+Xibo @ 2,730171
10 Altaian+Altaian+Mongola+Romanian @ 2,777116
11 Altaian+Mongola+Romanian+Tubalar @ 2,868793
12 Altaian+Altaian+Bulgarian+Xibo @ 2,871987
13 Kyrgyz+Mansi+Nogai+Tu @ 2,886366
14 Altaian+Altaian+Macedonian+Xibo @ 2,899229
15 Altaian+Kosovar+Mongola+Tubalar @ 2,899283
16 Mansi+Mongolian+Nogai+Tu @ 2,902407
17 Afghan_Turkmen+Chuvash+Daur+Mongolian @ 2,907446
18 Altaian+Altaian+Bulgarian+Mongola @ 2,910917
19 Altaian+Greek+Tubalar+Xibo @ 2,914849
20 Even+Nogai+Tu+Tubalar @ 2,929563
21 Altaian+Bulgarian+Mongola+Tubalar @ 2,945424
22 Afghan_Turkmen+Chuvash+Mongola+Tuvinian @ 2,947829
23 Altaian+Mansi+Nogai+Tu @ 2,968852
24 Kosovar+Tubalar+Tuvinian+Xibo @ 2,969434
25 Altaian+Altaian+Macedonian+Mongola @ 2,984119
26 Afghan_Turkmen+Buryat+Chuvash+Xibo @ 3,015853
27 Altaian+Montenegrin+Tubalar+Xibo @ 3,029539
28 Mansi+Mongola+Mongolian+Nogai @ 3,032739
29 Mansi+Mongolian+Nogai+Xibo @ 3,049421
30 Kosovar+Mongola+Tubalar+Tuvinian @ 3,074344
31 Altaian+Macedonian+Mongola+Tubalar @ 3,088443
32 Afghan_Turkmen+Chuvash+Mongolian+Xibo @ 3,09456
33 Romanian+Tubalar+Tuvinian+Xibo @ 3,113291
34 Chuvash+Kyrgyz+Oroqen+Uygur @ 3,128231
35 Chuvash+Daur+Mongolian+Turkmen @ 3,136963
36 Bulgarian+Tubalar+Tuvinian+Xibo @ 3,142404
37 Altaian+Altaian+Bosnian+Xibo @ 3,142987
38 Afghan_Turkmen+Chuvash+Tuvinian+Xibo @ 3,14409
39 Mongolian+Oroqen+Ukrainian_Poltava+Uygur @ 3,146656
40 Korean+Kyrgyz+Mansi+Nogai @ 3,150798
45212895 iterations.

Quote:

---

Originally Posted by knowledge is king

A lot of appreciation to Litvin for his coordination. Presumably if I done the whole process correctly this are my results:

Steppe K10

31.27% East_Asian
22.34% Siberian
11.30% Steppe
10.51% Near_Eastern
9.23% WHG-UHG
7.43% Hindu_Kush
4.67% Southeast_Asian
2.71% Amerindian
0.54% Oceanian
0.00% Sub-Saharan

It situated my actual Steppe admixture is very low for some reason.

By the way what should I do with a spreadsheet of population averages? I had not used this document on any of made steps.

---

"steppe" here stands for yamnaya related ancestry, bro. of course kazakhs are billion times more "steppe" people than these poor steppe-wannabe europeans lel

Wanna say all that work almost wasn't worth it.... but I did feel like Einstein doing it

35.79% Near_Eastern
0.21% East_Asian
2.08% Siberian
0.28% Oceanian
20.98% WHG-UHG
0.00% Sub-Saharan
14.75% Hindu_Kush
25.90% Steppe
0.00% Amerindian
0.00% Southeast_Asian

----------------------------
FINAL ADMIXTURE PROPORTIONS:
----------------------------

35.27% Near_Eastern
0.20% East_Asian
0.01% Siberian
0.54% Oceanian
23.40% WHG-UHG
11.20% Sub-Saharan
3.21% Hindu_Kush
12.79% Steppe > haters triggered
13.36% Amerindian
0.02% Southeast_Asian

Didnt find oracle files

Found it

Spoiler!

4 Ancestors Oracle
Version 0.97 by Alexandr Burnashev

Data file is D:\AO\data_SteppeK10_comma.txt
10 components mode.
Population data has been read. 180 populations found.
Personal data has been read. 20 approximations mode.
Person: Test1
Threshold of components set to 0.5%


Least-squares method.

Using 1 population approximation:
1 Romanian @ 21.724964
2 Bulgarian @ 22.003216
3 Macedonian @ 22.26405
4 Serbian @ 22.683727
5 Kosovar @ 22.714524
6 Montenegrin @ 22.714763
7 Bergamo @ 23.192375
8 Albanian @ 23.529239
9 Tuscan @ 23.813446
10 Spanish @ 23.819511
11 Bosnian @ 24.009241
12 French @ 24.039712
13 Serbian_Bosnia @ 24.335098
14 Croatian @ 24.44277
15 Greek @ 25.142367
16 West_Sicilian @ 25.250691
17 Hungarian @ 25.480074
18 Sicilian @ 26.466991
19 Maltese @ 26.95807
20 Utah_USA @ 27.100785
180 iterations.

Using 2 populations approximation:
1 Algerian+Moksha @ 14.437643
2 Algerian+Halberstadt_LBA @ 14.582553
3 Moksha+Tunisian @ 14.594334
4 Karelia_HG+Tunisian @ 14.622085
5 Russian_Kargopol+Tunisian @ 14.658619
6 Finnish+Tunisian @ 14.660526
7 Algerian+Russian_Kargopol @ 14.687803
8 Halberstadt_LBA+Tunisian @ 14.706486
9 Algerian+Erzya @ 14.712844
10 MA1+Moroccan @ 14.77641
11 Erzya+Tunisian @ 14.801674
12 Algerian+Karelia_HG @ 14.828292
13 Algerian+Russian @ 14.843882
14 Algerian+Finnish @ 14.872781
15 Algerian+BenzigerodeHeimburg_LN @ 14.882238
16 Russian+Tunisian @ 14.908194
17 Moksha+Moroccan @ 14.910366
18 Estonian+Tunisian @ 14.94983
19 Alberstedt_LN+Algerian @ 14.960097
20 Karelia_HG+Moroccan @ 14.991276
16290 iterations.

Using 3 populations approximation:
1 50% Algerian +25% HungaryGamba_BA +25% MA1 @ 9.554788
2 50% Algerian +25% MA1 +25% Utah_British @ 9.562798
3 50% Algerian +25% Icelandic +25% MA1 @ 9.628096
4 50% Algerian +25% MA1 +25% Orcadian @ 9.647285
5 50% Algerian +25% MA1 +25% Norwegian @ 9.652775
6 50% Algerian +25% MA1 +25% Utah_Scandinavian @ 9.655014
7 50% Algerian +25% MA1 +25% Scottish @ 9.695303
8 50% Algerian +25% MA1 +25% Utah_German @ 9.726286
9 50% Algerian +25% Bell_Beaker_LN +25% MA1 @ 9.728934
10 50% Algerian +25% MA1 +25% Utah_USA @ 9.739284
11 50% Moroccan +25% MA1 +25% Utah_British @ 9.758895
12 50% Algerian +25% English +25% MA1 @ 9.763501
13 50% Algerian +25% Halberstadt_LBA +25% MA1 @ 9.807562
14 50% Moroccan +25% MA1 +25% Utah_Scandinavian @ 9.821095
15 50% Moroccan +25% Icelandic +25% MA1 @ 9.823442
16 50% Moroccan +25% MA1 +25% Norwegian @ 9.829873
17 50% Moroccan +25% MA1 +25% Orcadian @ 9.837638
18 50% Moroccan +25% HungaryGamba_BA +25% MA1 @ 9.869137
19 50% Moroccan +25% MA1 +25% Scottish @ 9.88679
20 50% Moroccan +25% Bell_Beaker_LN +25% MA1 @ 9.889319
2086956 iterations.

Using 4 populations approximation:
1 Algerian+Algerian+HungaryGamba_BA+MA1 @ 9.554788
2 Algerian+Algerian+MA1+Utah_British @ 9.562798
3 Algerian+MA1+Moroccan+Utah_British @ 9.60137
4 Algerian+Algerian+Icelandic+MA1 @ 9.628096
5 Algerian+Algerian+MA1+Orcadian @ 9.647285
6 Algerian+Algerian+MA1+Norwegian @ 9.652775
7 Algerian+HungaryGamba_BA+MA1+Moroccan @ 9.653582
8 Algerian+Algerian+MA1+Utah_Scandinavian @ 9.655014
9 Algerian+Icelandic+MA1+Moroccan @ 9.666688
10 Algerian+MA1+Moroccan+Utah_Scandinavian @ 9.678912
11 Algerian+MA1+Moroccan+Norwegian @ 9.68225
12 Algerian+MA1+Moroccan+Orcadian @ 9.683458
13 Algerian+Algerian+MA1+Scottish @ 9.695303
14 Algerian+Algerian+MA1+Utah_German @ 9.726286
15 Algerian+Algerian+Bell_Beaker_LN+MA1 @ 9.728934
16 Algerian+MA1+Moroccan+Scottish @ 9.732342
17 Algerian+Algerian+MA1+Utah_USA @ 9.739284
18 Algerian+Bell_Beaker_LN+MA1+Moroccan @ 9.750391
19 MA1+Moroccan+Moroccan+Utah_British @ 9.758895
20 Algerian+MA1+Moroccan+Utah_German @ 9.761845
21 Algerian+Algerian+English+MA1 @ 9.763501
22 Algerian+MA1+Moroccan+Utah_USA @ 9.778483
23 Algerian+Algerian+Halberstadt_LBA+MA1 @ 9.807562
24 Algerian+English+MA1+Moroccan @ 9.817146
25 MA1+Moroccan+Moroccan+Utah_Scandinavian @ 9.821095
26 Icelandic+MA1+Moroccan+Moroccan @ 9.823442
27 Algerian+Halberstadt_LBA+MA1+Moroccan @ 9.823864
28 MA1+Moroccan+Moroccan+Norwegian @ 9.829873
29 MA1+Moroccan+Moroccan+Orcadian @ 9.837638
30 HungaryGamba_BA+MA1+Moroccan+Moroccan @ 9.869137
31 MA1+Moroccan+Moroccan+Scottish @ 9.88679
32 Bell_Beaker_LN+MA1+Moroccan+Moroccan @ 9.889319
33 MA1+Moroccan+Moroccan+Utah_German @ 9.91449
34 MA1+Moroccan+Moroccan+Utah_USA @ 9.934502
35 Halberstadt_LBA+MA1+Moroccan+Moroccan @ 9.95685
36 English+MA1+Moroccan+Moroccan @ 9.986856
37 Algerian+Algerian+Czech+MA1 @ 10.099691
38 Algerian+Czech+MA1+Moroccan @ 10.127221
39 Algerian+HungaryGamba_BA+MA1+Tunisian @ 10.149032
40 Algerian+Algerian+MA1+Polish @ 10.156829
17294583 iterations.


Gaussian method.
Noise dispersion set to 0.520249

Using 1 population approximation:
1 Moroccan_Jew @ 22.980156
2 Libyan_Jew @ 29.161392
3 Moroccan_Jewish @ 29.81782
4 Maltese @ 30.010355
5 BenzigerodeHeimburg_LN @ 30.274352
6 Lebanese @ 31.229943
7 South_Italian @ 31.543213
8 Spanish @ 31.759462
9 West_Sicilian @ 32.585547
10 BedouinA @ 33.286768
11 Moroccan @ 33.289293
12 East_Sicilian @ 33.345671
13 Turkish_Jew @ 33.721119
14 Utah_British @ 33.790829
15 Syrian @ 34.212416
16 Lebanese_Muslim @ 34.345659
17 Utah_German @ 35.058919
18 Egyptian @ 35.657064
19 Tunisian @ 35.681858
20 Palestinian @ 35.776101
180 iterations.

Using 2 populations approximation:
1 Karelia_HG+Tunisian @ 8.520204
2 Karelia_HG+Moroccan @ 9.338163
3 Egyptian+Karelia_HG @ 9.425558
4 MA1+Moroccan @ 9.620884
5 Algerian+Karelia_HG @ 9.638963
6 Algerian+MA1 @ 9.900308
7 Karelia_HG+Yemen @ 10.348189
8 BedouinA+Karelia_HG @ 10.394883
9 Samara_HG+Tunisian @ 10.404522
10 MA1+Tunisian @ 10.431085
11 Moroccan+Samara_HG @ 10.998777
12 Algerian+Samara_HG @ 11.285764
13 Egyptian+Samara_HG @ 11.439532
14 Karelia_HG+Palestinian @ 11.482558
15 BedouinA+Samara_HG @ 12.237387
16 Jordanian+Karelia_HG @ 12.260312
17 Samara_HG+Yemen @ 12.26694
18 Karelia_HG+Libyan_Jew @ 12.764642
19 Egyptian+MA1 @ 13.194236
20 Palestinian+Samara_HG @ 13.22995
16290 iterations.

Using 3 populations approximation:
1 50% Moroccan +25% BenzigerodeHeimburg_LN +25% Quechua @ 6.938113
2 50% Moroccan +25% BenzigerodeHeimburg_LN +25% Bolivian @ 7.009383
3 50% Moroccan +25% BenzigerodeHeimburg_LN +25% Mayan @ 7.11575
4 50% Tunisian +25% Lithuanian +25% Quechua @ 7.173971
5 50% Moroccan +25% Alberstedt_LN +25% Quechua @ 7.253879
6 50% Tunisian +25% Bolivian +25% Lithuanian @ 7.268723
7 50% Moroccan +25% Halberstadt_LBA +25% Quechua @ 7.26889
8 50% French +25% Algerian +25% Quechua @ 7.318829
9 50% English +25% Algerian +25% Mayan @ 7.31903
10 50% English +25% Algerian +25% Quechua @ 7.323133
11 50% French +25% Algerian +25% Mayan @ 7.324403
12 50% Moroccan +25% Alberstedt_LN +25% Bolivian @ 7.335257
13 50% English +25% Algerian +25% Bolivian @ 7.354889
14 50% Moroccan +25% Bolivian +25% Halberstadt_LBA @ 7.360255
15 50% Tunisian +25% Lithuanian +25% Mayan @ 7.364215
16 50% French +25% Algerian +25% Bolivian @ 7.367632
17 50% Orcadian +25% Algerian +25% Quechua @ 7.3739
18 50% Algerian +25% BenzigerodeHeimburg_LN +25% Quechua @ 7.374504
19 50% Utah_USA +25% Algerian +25% Quechua @ 7.376692
20 50% Utah_USA +25% Algerian +25% Mayan @ 7.378466
2915910 iterations.

Using 4 populations approximation:
1 BenzigerodeHeimburg_LN+Moroccan+Moroccan+Quechua @ 6.938113
2 BenzigerodeHeimburg_LN+Bolivian+Moroccan+Moroccan @ 7.009383
3 Algerian+BenzigerodeHeimburg_LN+Quechua+Spanish @ 7.064181
4 BenzigerodeHeimburg_LN+Moroccan+Quechua+Tunisian @ 7.06497
5 Lithuanian+Moroccan+Quechua+Tunisian @ 7.095015
6 Algerian+BenzigerodeHeimburg_LN+Bolivian+Spanish @ 7.106791
7 Algerian+BenzigerodeHeimburg_LN+Mayan+Spanish @ 7.107549
8 Algerian+BenzigerodeHeimburg_LN+Esperstedt_MN+Maya n @ 7.115315
9 BenzigerodeHeimburg_LN+Mayan+Moroccan+Moroccan @ 7.11575
10 Algerian+BenzigerodeHeimburg_LN+Esperstedt_MN+Quec hua @ 7.128515
11 Alberstedt_LN+Algerian+Quechua+Spanish @ 7.138596
12 Algerian+Halberstadt_LBA+Quechua+Tuscan @ 7.138918
13 Algerian+BenzigerodeHeimburg_LN+Moroccan+Quechua @ 7.139048
14 Algerian+Bergamo+Halberstadt_LBA+Quechua @ 7.145086
15 Algerian+Halberstadt_LBA+Quechua+Spanish @ 7.150708
16 Algerian+BenzigerodeHeimburg_LN+Bolivian+Espersted t_MN @ 7.153251
17 BenzigerodeHeimburg_LN+Bolivian+Moroccan+Tunisian @ 7.156288
18 Algerian+Halberstadt_LBA+Quechua+West_Sicilian @ 7.15684
19 Alberstedt_LN+Algerian+Mayan+Spanish @ 7.16275
20 Algerian+BenzigerodeHeimburg_LN+Mayan+Spain_MN @ 7.163319
21 Algerian+Bergamo+Halberstadt_LBA+Mayan @ 7.166194
22 Bolivian+Lithuanian+Moroccan+Tunisian @ 7.169676
23 Algerian+Icelandic+Quechua+West_Sicilian @ 7.171582
24 Algerian+Bergamo+Orcadian+Quechua @ 7.172939
25 Lithuanian+Quechua+Tunisian+Tunisian @ 7.173971
26 Algerian+Halberstadt_LBA+Mayan+Spanish @ 7.175345
27 Algerian+Icelandic+Quechua+Tuscan @ 7.175678
28 Algerian+Halberstadt_LBA+Mayan+Tuscan @ 7.177001
29 Algerian+BenzigerodeHeimburg_LN+Bergamo+Quechua @ 7.181289
30 Algerian+Orcadian+Quechua+Tuscan @ 7.183682
31 Algerian+BenzigerodeHeimburg_LN+Quechua+Spain_MN @ 7.184566
32 Algerian+Bergamo+Icelandic+Quechua @ 7.187237
33 Alberstedt_LN+Algerian+Bolivian+Spanish @ 7.18824
34 Algerian+Lithuanian+Quechua+West_Sicilian @ 7.188697
35 Algerian+Lithuanian+Maltese+Quechua @ 7.189139
36 Algerian+Kosovar+Orcadian+Quechua @ 7.190421
37 Algerian+Bergamo+Mayan+Orcadian @ 7.193162
38 Alberstedt_LN+Algerian+Bergamo+Quechua @ 7.194005
39 Algerian+Bergamo+Bolivian+Halberstadt_LBA @ 7.196954
40 Algerian+Bolivian+Halberstadt_LBA+Tuscan @ 7.197528
45212895 iterations.

Attached the Orcale file, for the dots brothers
Attachment 64823

Do you have an admix4 utility?

Then you can fing the population averages here http://www.theapricity.com/forum/sho...=1#post3571576

Run this file and enter your admixture proportions in the app.

49.58% Near_Eastern
0.00% East_Asian
0.03% Siberian
0.82% Oceanian
25.74% WHG-UHG
0.00% Sub-Saharan
6.17% Hindu_Kush
17.05% Steppe
0.01% Amerindian
0.60% Southeast_Asian

46.78% Near_Eastern
0.03% East_Asian
0.00% Siberian
0.00% Oceanian
24.14% WHG-UHG
0.00% Sub-Saharan
5.78% Hindu_Kush
22.61% Steppe
0.00% Amerindian
0.67% Southeast_Asian

Credit to Big Boss, he run app for me.